:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+
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About intel i7 cpu predict 320*320 very slowly problem? #46
I trained model using NVIDIA Tesla P100, My cpu is intel i7 1.8G, Why infer 320*320 needing about 30ms, where is wrong?
Kirin 990 CPU’s time only is 6.74ms!! where is wrong?
Thank you very much!
我用NVIDIA Tesla P100训练的模型，在intel i7 1.8G cpu上预测320*320的时间是30ms左右，但是根据官网，Kirin 990 CPU预测同样大小是6.74ms。
这个差距太大了，是哪里出了问题？非常感谢！
I trained model using NVIDIA Tesla P100, My cpu is intel i7 1.8G, Why infer 320*320 needing about 30ms, where is wrong?
Kirin 990 CPU’s time only is 6.74ms!! where is wrong? Thank you very much!
我用NVIDIA Tesla P100训练的模型，在intel i7 1.8G cpu上预测320*320的时间是30ms左右，但是根据官网，Kirin 990 CPU预测同样大小是6.74ms。 这个差距太大了，是哪里出了问题？非常感谢！